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<h1><a href="aiplatform_v1beta1.html">Vertex AI API</a> . <a href="aiplatform_v1beta1.projects.html">projects</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
  <code><a href="aiplatform_v1beta1.projects.locations.html">locations()</a></code>
</p>
<p class="firstline">Returns the locations Resource.</p>

<p class="toc_element">
  <code><a href="aiplatform_v1beta1.projects.modelGardenEula.html">modelGardenEula()</a></code>
</p>
<p class="firstline">Returns the modelGardenEula Resource.</p>

<p class="toc_element">
  <code><a href="aiplatform_v1beta1.projects.publishers.html">publishers()</a></code>
</p>
<p class="firstline">Returns the publishers Resource.</p>

<p class="toc_element">
  <code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
  <code><a href="#fetchPublisherModelConfig">fetchPublisherModelConfig(name, x__xgafv=None)</a></code></p>
<p class="firstline">Fetches the configs of publisher models.</p>
<p class="toc_element">
  <code><a href="#getCacheConfig">getCacheConfig(name, x__xgafv=None)</a></code></p>
<p class="firstline">Gets a GenAI cache config.</p>
<p class="toc_element">
  <code><a href="#setPublisherModelConfig">setPublisherModelConfig(name, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Sets (creates or updates) configs of publisher models. For example, sets the request/response logging config.</p>
<p class="toc_element">
  <code><a href="#updateCacheConfig">updateCacheConfig(name, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Updates a cache config.</p>
<h3>Method Details</h3>
<div class="method">
    <code class="details" id="close">close()</code>
  <pre>Close httplib2 connections.</pre>
</div>

<div class="method">
    <code class="details" id="fetchPublisherModelConfig">fetchPublisherModelConfig(name, x__xgafv=None)</code>
  <pre>Fetches the configs of publisher models.

Args:
  name: string, Required. The name of the publisher model, in the format of `projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This message contains configs of a publisher model.
  &quot;loggingConfig&quot;: { # Configuration for logging request-response to a BigQuery table. # The prediction request/response logging config.
    &quot;bigqueryDestination&quot;: { # The BigQuery location for the output content. # BigQuery table for logging. If only given a project, a new dataset will be created with name `logging__` where will be made BigQuery-dataset-name compatible (e.g. most special characters will become underscores). If no table name is given, a new table will be created with name `request_response_logging`
      &quot;outputUri&quot;: &quot;A String&quot;, # Required. BigQuery URI to a project or table, up to 2000 characters long. When only the project is specified, the Dataset and Table is created. When the full table reference is specified, the Dataset must exist and table must not exist. Accepted forms: * BigQuery path. For example: `bq://projectId` or `bq://projectId.bqDatasetId` or `bq://projectId.bqDatasetId.bqTableId`.
    },
    &quot;enableOtelLogging&quot;: True or False, # This field is used for large models. If true, in addition to the original large model logs, logs will be converted in OTel schema format, and saved in otel_log column. Default value is false.
    &quot;enabled&quot;: True or False, # If logging is enabled or not.
    &quot;requestResponseLoggingSchemaVersion&quot;: &quot;A String&quot;, # Output only. The schema version used in creating the BigQuery table for the request response logging. The versions are &quot;v1&quot; and &quot;v2&quot;. The current default version is &quot;v1&quot;.
    &quot;samplingRate&quot;: 3.14, # Percentage of requests to be logged, expressed as a fraction in range(0,1].
  },
}</pre>
</div>

<div class="method">
    <code class="details" id="getCacheConfig">getCacheConfig(name, x__xgafv=None)</code>
  <pre>Gets a GenAI cache config.

Args:
  name: string, Required. Name of the cache config. Format: - `projects/{project}/cacheConfig`. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Config of GenAI caching features. This is a singleton resource.
  &quot;disableCache&quot;: True or False, # If set to true, disables GenAI caching. Otherwise caching is enabled.
  &quot;name&quot;: &quot;A String&quot;, # Identifier. Name of the cache config. Format: - `projects/{project}/cacheConfig`.
}</pre>
</div>

<div class="method">
    <code class="details" id="setPublisherModelConfig">setPublisherModelConfig(name, body=None, x__xgafv=None)</code>
  <pre>Sets (creates or updates) configs of publisher models. For example, sets the request/response logging config.

Args:
  name: string, Required. The name of the publisher model, in the format of `projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`. (required)
  body: object, The request body.
    The object takes the form of:

{ # Request message for EndpointService.SetPublisherModelConfig.
  &quot;publisherModelConfig&quot;: { # This message contains configs of a publisher model. # Required. The publisher model config.
    &quot;loggingConfig&quot;: { # Configuration for logging request-response to a BigQuery table. # The prediction request/response logging config.
      &quot;bigqueryDestination&quot;: { # The BigQuery location for the output content. # BigQuery table for logging. If only given a project, a new dataset will be created with name `logging__` where will be made BigQuery-dataset-name compatible (e.g. most special characters will become underscores). If no table name is given, a new table will be created with name `request_response_logging`
        &quot;outputUri&quot;: &quot;A String&quot;, # Required. BigQuery URI to a project or table, up to 2000 characters long. When only the project is specified, the Dataset and Table is created. When the full table reference is specified, the Dataset must exist and table must not exist. Accepted forms: * BigQuery path. For example: `bq://projectId` or `bq://projectId.bqDatasetId` or `bq://projectId.bqDatasetId.bqTableId`.
      },
      &quot;enableOtelLogging&quot;: True or False, # This field is used for large models. If true, in addition to the original large model logs, logs will be converted in OTel schema format, and saved in otel_log column. Default value is false.
      &quot;enabled&quot;: True or False, # If logging is enabled or not.
      &quot;requestResponseLoggingSchemaVersion&quot;: &quot;A String&quot;, # Output only. The schema version used in creating the BigQuery table for the request response logging. The versions are &quot;v1&quot; and &quot;v2&quot;. The current default version is &quot;v1&quot;.
      &quot;samplingRate&quot;: 3.14, # Percentage of requests to be logged, expressed as a fraction in range(0,1].
    },
  },
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
    &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
    ],
    &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
  &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  &quot;response&quot;: { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
}</pre>
</div>

<div class="method">
    <code class="details" id="updateCacheConfig">updateCacheConfig(name, body=None, x__xgafv=None)</code>
  <pre>Updates a cache config.

Args:
  name: string, Identifier. Name of the cache config. Format: - `projects/{project}/cacheConfig`. (required)
  body: object, The request body.
    The object takes the form of:

{ # Config of GenAI caching features. This is a singleton resource.
  &quot;disableCache&quot;: True or False, # If set to true, disables GenAI caching. Otherwise caching is enabled.
  &quot;name&quot;: &quot;A String&quot;, # Identifier. Name of the cache config. Format: - `projects/{project}/cacheConfig`.
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
    &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
    ],
    &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
  &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  &quot;response&quot;: { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
}</pre>
</div>

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